Gadi Goelman

2.1k citations
74 papers · 1.6k indexed · h-index 25

Impact in

Papers in

Gadi Goelman

71 papers receiving 1.5k citations

Peers

Gadi Goelman
Comparison fields: 5 of 127
  • Radiology, Nuclear Medicine and Imaging 606
  • Cognitive Neuroscience 504
  • Nuclear and High Energy Physics 225
  • Spectroscopy 274
  • Behavioral Neuroscience 56
Replace Yiping P. Du with:
Yiping P. Du United States
Franz Schmitt Germany
Vadim Zotev United States
David N. Guilfoyle United States
Donald B. Twieg United States
John R. Keltner United States
Malcolm J. Avison United States
Robert Trampel Germany
M. Dylan Tisdall United States
J. H. Lee United States
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Citations per field
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Citations per year

Countries citing papers authored by Gadi Goelman

Since Specialization
Citations

This map shows the geographic impact of Gadi Goelman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gadi Goelman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gadi Goelman more than expected).

Fields of papers citing papers by Gadi Goelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gadi Goelman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gadi Goelman. The network helps show where Gadi Goelman may publish in the future.

Co-authors

The 25 scholars most cited alongside Gadi Goelman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gadi Goelman Line = papers co-authored together Gadi Goelman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20237
2 20226
3 20218
4 20206
5 202028
6 201920
7 201810
8 201835
9 201757
10 201611
11 201513
12 201435
13 20143
14 201354
15 200643
16 200243
17 19991
18 199532
19 199414
20 199230

About Gadi Goelman

Gadi Goelman is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Spectroscopy, Nuclear and High Energy Physics and Biophysics, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (29 papers), Functional Brain Connectivity Studies (20 papers), Advanced NMR Techniques and Applications (15 papers), Neurological disorders and treatments (12 papers), NMR spectroscopy and applications (12 papers), Neural dynamics and brain function (12 papers), Neuroscience and Neuropharmacology Research (8 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (606 citations), Cognitive Neuroscience (504 citations), Nuclear and High Energy Physics (225 citations), Spectroscopy (274 citations) and Behavioral Neuroscience (56 citations). Gadi Goelman has collaborated with scholars based in Israel, United States and Czechia. Frequent co-authors include Oded Gonen, Galit Pelled, Rotem Dan, M.G. Prammer, John S. Leigh, M. Shapiro, Saleem Zaroubi, Ram Frost, Atira Bick and Noam Gordon. Their work appears in journals such as Magnetic Resonance in Medicine, European Journal of Neuroscience, NeuroImage, Scientific Reports and Magnetic Resonance Imaging.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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